Google Software Engineering Internship Recruitment 2017

Google Software Engineering Internship Recruitment 2017: The 12-14 days paid internship for Software Engineers on winter 2018 is a powerful initiative by Google to bring innovative minds together. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are attempting to change the world with one innovative accomplishment after another.

The Google Software Engineering Internship Programme gives you the opportunity to make an impact on millions, if not billions of users, by working with a line of world-class engineers and taking on some of the technology’s greatest challenges. During this brief period, interns will get the chance to work on core products, services as well as Product and Systems Development, Engineering Productivity and Site Reliability.

Applications are hereby invited from interested and qualified candidates to apply for the ongoing Google Software Engineering Internship.

Location:

United States

Benefits:

Personal and professional development
Community-building
Executive speaker series
An opportunity to work on complex computer science solutions, develop scalable, distributed software systems
Collaborate on multitudes of smaller projects that have universal appeal – which requires research, awareness, interactivity, and asking questions.

Eligibilities
Minimum qualifications:

Experience with linear coding and use language features when necessary (e.g., data structures, branching, function-calls, and conditionals).
Currently enrolled in a full-time Bachelor’s in Computer Science or related technical field, returning to BA/BS program or enrolled in another full-time degree program after completion of the internship.
Experience writing code fixes and tools to solve problems in one or more of the following languages: C, C , Java, JavaScript, or Python (e.g., remove duplicate elements from a list).
Completed projects (inside or outside of school) or classes focused on Data Structures and Algorithms; Experience with algorithms, using data structures to solve problems, and interpreting algorithms and contributing ideas to their development.